{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "ccad044f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "42fa75ee",
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset = pd.read_csv(\"서울시 대기질 자료 제공_2022.csv\", encoding =\"cp949\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "da71f6c1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>일시</th>\n",
       "      <th>구분</th>\n",
       "      <th>미세먼지(PM10)</th>\n",
       "      <th>초미세먼지(PM2.5)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022-12-31 23:00</td>\n",
       "      <td>평균</td>\n",
       "      <td>59.0</td>\n",
       "      <td>46.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022-12-31 23:00</td>\n",
       "      <td>강남구</td>\n",
       "      <td>57.0</td>\n",
       "      <td>44.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022-12-31 23:00</td>\n",
       "      <td>강동구</td>\n",
       "      <td>68.0</td>\n",
       "      <td>55.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-12-31 23:00</td>\n",
       "      <td>강북구</td>\n",
       "      <td>59.0</td>\n",
       "      <td>42.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-12-31 23:00</td>\n",
       "      <td>강서구</td>\n",
       "      <td>62.0</td>\n",
       "      <td>40.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 일시   구분  미세먼지(PM10)  초미세먼지(PM2.5)\n",
       "0  2022-12-31 23:00   평균        59.0          46.0\n",
       "1  2022-12-31 23:00  강남구        57.0          44.0\n",
       "2  2022-12-31 23:00  강동구        68.0          55.0\n",
       "3  2022-12-31 23:00  강북구        59.0          42.0\n",
       "4  2022-12-31 23:00  강서구        62.0          40.0"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "0573c656",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 227760 entries, 0 to 227759\n",
      "Data columns (total 4 columns):\n",
      " #   Column        Non-Null Count   Dtype  \n",
      "---  ------        --------------   -----  \n",
      " 0   일시            227760 non-null  object \n",
      " 1   구분            227760 non-null  object \n",
      " 2   미세먼지(PM10)    222844 non-null  float64\n",
      " 3   초미세먼지(PM2.5)  223513 non-null  float64\n",
      "dtypes: float64(2), object(2)\n",
      "memory usage: 7.0+ MB\n"
     ]
    }
   ],
   "source": [
    "dataset.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "65873472",
   "metadata": {},
   "source": [
    "## 날짜 전처리"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f7dbc20e",
   "metadata": {},
   "outputs": [],
   "source": [
    "datetime_df = pd.DataFrame({'datetime': pd.to_datetime(dataset['일시'])})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "3ac577b5",
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset['datetime'] = datetime_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "1598f78d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 227760 entries, 0 to 227759\n",
      "Data columns (total 5 columns):\n",
      " #   Column        Non-Null Count   Dtype         \n",
      "---  ------        --------------   -----         \n",
      " 0   일시            227760 non-null  object        \n",
      " 1   구분            227760 non-null  object        \n",
      " 2   미세먼지(PM10)    222844 non-null  float64       \n",
      " 3   초미세먼지(PM2.5)  223513 non-null  float64       \n",
      " 4   datetime      227760 non-null  datetime64[ns]\n",
      "dtypes: datetime64[ns](1), float64(2), object(2)\n",
      "memory usage: 8.7+ MB\n"
     ]
    }
   ],
   "source": [
    "dataset.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a8f93870",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>구분</th>\n",
       "      <th>미세먼지(PM10)</th>\n",
       "      <th>초미세먼지(PM2.5)</th>\n",
       "      <th>Year</th>\n",
       "      <th>Month</th>\n",
       "      <th>Day</th>\n",
       "      <th>Hour</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>평균</td>\n",
       "      <td>59.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>2022</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>강남구</td>\n",
       "      <td>57.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>2022</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>강동구</td>\n",
       "      <td>68.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>2022</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>강북구</td>\n",
       "      <td>59.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>2022</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>강서구</td>\n",
       "      <td>62.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>2022</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227755</th>\n",
       "      <td>용산구</td>\n",
       "      <td>22.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>2022</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227756</th>\n",
       "      <td>은평구</td>\n",
       "      <td>19.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2022</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227757</th>\n",
       "      <td>종로구</td>\n",
       "      <td>20.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2022</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227758</th>\n",
       "      <td>중구</td>\n",
       "      <td>20.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>2022</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227759</th>\n",
       "      <td>중랑구</td>\n",
       "      <td>21.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2022</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>227760 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         구분  미세먼지(PM10)  초미세먼지(PM2.5)  Year  Month  Day  Hour\n",
       "0        평균        59.0          46.0  2022     12   31    23\n",
       "1       강남구        57.0          44.0  2022     12   31    23\n",
       "2       강동구        68.0          55.0  2022     12   31    23\n",
       "3       강북구        59.0          42.0  2022     12   31    23\n",
       "4       강서구        62.0          40.0  2022     12   31    23\n",
       "...     ...         ...           ...   ...    ...  ...   ...\n",
       "227755  용산구        22.0          11.0  2022      1    1     0\n",
       "227756  은평구        19.0           9.0  2022      1    1     0\n",
       "227757  종로구        20.0           9.0  2022      1    1     0\n",
       "227758   중구        20.0          11.0  2022      1    1     0\n",
       "227759  중랑구        21.0           7.0  2022      1    1     0\n",
       "\n",
       "[227760 rows x 7 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset['Year'] = dataset['datetime'].dt.year\n",
    "dataset['Month'] = dataset['datetime'].dt.month\n",
    "dataset['Day'] = dataset['datetime'].dt.day\n",
    "dataset['Hour'] = dataset['datetime'].dt.hour\n",
    "dataset = dataset.drop(['일시', 'datetime'], axis=1)\n",
    "dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "78e8a9ef",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>6</th>\n",
       "      <td>광진구</td>\n",
       "      <td>54.0</td>\n",
       "      <td>46.0</td>\n",
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       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>광진구</td>\n",
       "      <td>51.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>2022</td>\n",
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       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>광진구</td>\n",
       "      <td>51.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>2022</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>광진구</td>\n",
       "      <td>53.0</td>\n",
       "      <td>41.0</td>\n",
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       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>광진구</td>\n",
       "      <td>52.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>2022</td>\n",
       "      <td>12</td>\n",
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       "    <tr>\n",
       "      <th>227636</th>\n",
       "      <td>광진구</td>\n",
       "      <td>24.0</td>\n",
       "      <td>11.0</td>\n",
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       "      <td>21.0</td>\n",
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       "      <td>2022</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
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       "    <tr>\n",
       "      <th>227688</th>\n",
       "      <td>광진구</td>\n",
       "      <td>18.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2022</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227714</th>\n",
       "      <td>광진구</td>\n",
       "      <td>17.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2022</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227740</th>\n",
       "      <td>광진구</td>\n",
       "      <td>19.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2022</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>8760 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         구분  미세먼지(PM10)  초미세먼지(PM2.5)  Year  Month  Day  Hour\n",
       "6       광진구        54.0          46.0  2022     12   31    23\n",
       "32      광진구        51.0          44.0  2022     12   31    22\n",
       "58      광진구        51.0          41.0  2022     12   31    21\n",
       "84      광진구        53.0          41.0  2022     12   31    20\n",
       "110     광진구        52.0          43.0  2022     12   31    19\n",
       "...     ...         ...           ...   ...    ...  ...   ...\n",
       "227636  광진구        24.0          11.0  2022      1    1     4\n",
       "227662  광진구        21.0           9.0  2022      1    1     3\n",
       "227688  광진구        18.0           8.0  2022      1    1     2\n",
       "227714  광진구        17.0           8.0  2022      1    1     1\n",
       "227740  광진구        19.0           8.0  2022      1    1     0\n",
       "\n",
       "[8760 rows x 7 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset_GJ = dataset[dataset['구분']=='광진구']\n",
    "dataset_GJ"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "554bdf8c",
   "metadata": {},
   "outputs": [
    {
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       "      <th>Month</th>\n",
       "      <th>Day</th>\n",
       "      <th>Hour</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>평균</td>\n",
       "      <td>59.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>2022</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>평균</td>\n",
       "      <td>58.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>2022</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>평균</td>\n",
       "      <td>56.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>2022</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>평균</td>\n",
       "      <td>56.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>2022</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>평균</td>\n",
       "      <td>55.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>2022</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227630</th>\n",
       "      <td>평균</td>\n",
       "      <td>20.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2022</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227656</th>\n",
       "      <td>평균</td>\n",
       "      <td>20.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2022</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227682</th>\n",
       "      <td>평균</td>\n",
       "      <td>21.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2022</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227708</th>\n",
       "      <td>평균</td>\n",
       "      <td>22.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2022</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227734</th>\n",
       "      <td>평균</td>\n",
       "      <td>20.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2022</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8760 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        구분  미세먼지(PM10)  초미세먼지(PM2.5)  Year  Month  Day  Hour\n",
       "0       평균        59.0          46.0  2022     12   31    23\n",
       "26      평균        58.0          45.0  2022     12   31    22\n",
       "52      평균        56.0          44.0  2022     12   31    21\n",
       "78      평균        56.0          43.0  2022     12   31    20\n",
       "104     평균        55.0          42.0  2022     12   31    19\n",
       "...     ..         ...           ...   ...    ...  ...   ...\n",
       "227630  평균        20.0           9.0  2022      1    1     4\n",
       "227656  평균        20.0           9.0  2022      1    1     3\n",
       "227682  평균        21.0           9.0  2022      1    1     2\n",
       "227708  평균        22.0          10.0  2022      1    1     1\n",
       "227734  평균        20.0           8.0  2022      1    1     0\n",
       "\n",
       "[8760 rows x 7 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset_AVG = dataset[dataset['구분']=='평균']\n",
    "dataset_AVG"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7bb942cf",
   "metadata": {},
   "source": [
    "## 데이터 분석"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "127393d8",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>미세먼지(PM10)</th>\n",
       "      <th>초미세먼지(PM2.5)</th>\n",
       "      <th>Year</th>\n",
       "      <th>Month</th>\n",
       "      <th>Day</th>\n",
       "      <th>Hour</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>8673.000000</td>\n",
       "      <td>8673.000000</td>\n",
       "      <td>8760.0</td>\n",
       "      <td>8760.000000</td>\n",
       "      <td>8760.000000</td>\n",
       "      <td>8760.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>31.393059</td>\n",
       "      <td>18.162804</td>\n",
       "      <td>2022.0</td>\n",
       "      <td>6.526027</td>\n",
       "      <td>15.720548</td>\n",
       "      <td>11.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>21.191767</td>\n",
       "      <td>13.545043</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.448048</td>\n",
       "      <td>8.796749</td>\n",
       "      <td>6.922582</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2022.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>19.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>2022.0</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>5.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>27.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>2022.0</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>11.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>39.000000</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>2022.0</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>17.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>356.000000</td>\n",
       "      <td>108.000000</td>\n",
       "      <td>2022.0</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>23.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        미세먼지(PM10)  초미세먼지(PM2.5)    Year        Month          Day  \\\n",
       "count  8673.000000   8673.000000  8760.0  8760.000000  8760.000000   \n",
       "mean     31.393059     18.162804  2022.0     6.526027    15.720548   \n",
       "std      21.191767     13.545043     0.0     3.448048     8.796749   \n",
       "min       3.000000      1.000000  2022.0     1.000000     1.000000   \n",
       "25%      19.000000      9.000000  2022.0     4.000000     8.000000   \n",
       "50%      27.000000     15.000000  2022.0     7.000000    16.000000   \n",
       "75%      39.000000     24.000000  2022.0    10.000000    23.000000   \n",
       "max     356.000000    108.000000  2022.0    12.000000    31.000000   \n",
       "\n",
       "              Hour  \n",
       "count  8760.000000  \n",
       "mean     11.500000  \n",
       "std       6.922582  \n",
       "min       0.000000  \n",
       "25%       5.750000  \n",
       "50%      11.500000  \n",
       "75%      17.250000  \n",
       "max      23.000000  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset_GJ.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "1693c091",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>미세먼지(PM10)</th>\n",
       "      <th>초미세먼지(PM2.5)</th>\n",
       "      <th>Year</th>\n",
       "      <th>Month</th>\n",
       "      <th>Day</th>\n",
       "      <th>Hour</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>8760.000000</td>\n",
       "      <td>8760.000000</td>\n",
       "      <td>8760.0</td>\n",
       "      <td>8760.000000</td>\n",
       "      <td>8760.000000</td>\n",
       "      <td>8760.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>32.783676</td>\n",
       "      <td>18.347603</td>\n",
       "      <td>2022.0</td>\n",
       "      <td>6.526027</td>\n",
       "      <td>15.720548</td>\n",
       "      <td>11.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>21.961702</td>\n",
       "      <td>13.225173</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.448048</td>\n",
       "      <td>8.796749</td>\n",
       "      <td>6.922582</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2022.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>20.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>2022.0</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>5.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>28.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>2022.0</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>11.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>40.000000</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>2022.0</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>17.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>353.000000</td>\n",
       "      <td>108.000000</td>\n",
       "      <td>2022.0</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>23.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        미세먼지(PM10)  초미세먼지(PM2.5)    Year        Month          Day  \\\n",
       "count  8760.000000   8760.000000  8760.0  8760.000000  8760.000000   \n",
       "mean     32.783676     18.347603  2022.0     6.526027    15.720548   \n",
       "std      21.961702     13.225173     0.0     3.448048     8.796749   \n",
       "min       3.000000      1.000000  2022.0     1.000000     1.000000   \n",
       "25%      20.000000      9.000000  2022.0     4.000000     8.000000   \n",
       "50%      28.000000     15.000000  2022.0     7.000000    16.000000   \n",
       "75%      40.000000     24.000000  2022.0    10.000000    23.000000   \n",
       "max     353.000000    108.000000  2022.0    12.000000    31.000000   \n",
       "\n",
       "              Hour  \n",
       "count  8760.000000  \n",
       "mean     11.500000  \n",
       "std       6.922582  \n",
       "min       0.000000  \n",
       "25%       5.750000  \n",
       "50%      11.500000  \n",
       "75%      17.250000  \n",
       "max      23.000000  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset_AVG.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8c563103",
   "metadata": {},
   "source": [
    "#### 미세먼지 분포"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "bc281b9e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'count')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(12,12))\n",
    "\n",
    "axes1 = fig.add_subplot(2,2,1)\n",
    "axes1.hist(dataset_GJ['미세먼지(PM10)'], bins=30)\n",
    "axes1.set_title(\"GJ_PM10\")\n",
    "axes1.set_xlabel(\"concentration\")\n",
    "axes1.set_ylabel(\"count\")\n",
    "\n",
    "axes2 = fig.add_subplot(2,2,2)\n",
    "axes2.hist(dataset_AVG['미세먼지(PM10)'], bins=30)\n",
    "axes2.set_title(\"AVG_PM10\")\n",
    "axes2.set_xlabel(\"concentration\")\n",
    "axes2.set_ylabel(\"count\")\n",
    "\n",
    "axes3 = fig.add_subplot(2,2,3)\n",
    "axes3.hist(dataset_GJ['초미세먼지(PM2.5)'], bins=30)\n",
    "axes3.set_title(\"GJ_PM2.5\")\n",
    "axes3.set_xlabel(\"concentration\")\n",
    "axes3.set_ylabel(\"count\")\n",
    "\n",
    "axes4 = fig.add_subplot(2,2,4)\n",
    "axes4.hist(dataset_AVG['초미세먼지(PM2.5)'], bins=30)\n",
    "axes4.set_title(\"AVG_PM2.5\")\n",
    "axes4.set_xlabel(\"concentration\")\n",
    "axes4.set_ylabel(\"count\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "224d9ca4",
   "metadata": {},
   "source": [
    "#### 월/일/시간별 미세먼지 분포"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "8c3218a8",
   "metadata": {},
   "outputs": [],
   "source": [
    "GJ_month_PM = dataset_GJ[['Month', '미세먼지(PM10)', '초미세먼지(PM2.5)']].groupby(['Month']).mean()\n",
    "GJ_day_PM = dataset_GJ[['Day', '미세먼지(PM10)', '초미세먼지(PM2.5)']].groupby(['Day']).mean()\n",
    "GJ_hour_PM = dataset_GJ[['Hour', '미세먼지(PM10)', '초미세먼지(PM2.5)']].groupby(['Hour']).mean()\n",
    "\n",
    "AVG_month_PM = dataset_AVG[['Month', '미세먼지(PM10)', '초미세먼지(PM2.5)']].groupby(['Month']).mean()\n",
    "AVG_day_PM = dataset_AVG[['Day', '미세먼지(PM10)', '초미세먼지(PM2.5)']].groupby(['Day']).mean()\n",
    "AVG_hour_PM = dataset_AVG[['Hour', '미세먼지(PM10)', '초미세먼지(PM2.5)']].groupby(['Hour']).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "f04f6410",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No handles with labels found to put in legend.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x23d341d0fd0>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1152 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(20,16))\n",
    "\n",
    "axes1 = fig.add_subplot(3,2,1)\n",
    "axes1.plot(GJ_month_PM)\n",
    "axes1.set_title(\"GJ_PM10\")\n",
    "axes1.set_xlabel(\"month\")\n",
    "axes1.set_ylabel(\"concentration\")\n",
    "\n",
    "axes2 = fig.add_subplot(3,2,2)\n",
    "axes2.plot(AVG_month_PM)\n",
    "axes2.set_title(\"AVG_PM10\")\n",
    "axes2.set_xlabel(\"month\")\n",
    "axes2.set_ylabel(\"concentration\")\n",
    "\n",
    "axes3 = fig.add_subplot(3,2,3)\n",
    "axes3.plot(GJ_day_PM)\n",
    "axes3.set_title(\"GJ_PM10\")\n",
    "axes3.set_xlabel(\"day\")\n",
    "axes3.set_ylabel(\"concentration\")\n",
    "\n",
    "axes4 = fig.add_subplot(3,2,4)\n",
    "axes4.plot(AVG_day_PM)\n",
    "axes4.set_title(\"AVG_PM10\")\n",
    "axes4.set_xlabel(\"day\")\n",
    "axes4.set_ylabel(\"concentration\")\n",
    "\n",
    "axes5 = fig.add_subplot(3,2,5)\n",
    "axes5.plot(GJ_hour_PM)\n",
    "axes5.set_title(\"GJ_PM10\")\n",
    "axes5.set_xlabel(\"hour\")\n",
    "axes5.set_ylabel(\"concentration\")\n",
    "\n",
    "axes6 = fig.add_subplot(3,2,6)\n",
    "axes6.plot(AVG_hour_PM)\n",
    "axes6.set_title(\"AVG_PM10\")\n",
    "axes6.set_xlabel(\"hour\")\n",
    "axes6.set_ylabel(\"concentration\")\n",
    "\n",
    "\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "467ddff3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x23d3503c160>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1152 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(20,16))\n",
    "\n",
    "axes1 = fig.add_subplot(3,2,1)\n",
    "axes1.plot(GJ_month_PM.iloc[:,0], label = 'PM10', c='darkgreen')\n",
    "axes1.plot(GJ_month_PM.iloc[:,1], label = 'PM2.5', c='lightgreen')\n",
    "# axes1.set_title(\"GJ_PM10\")\n",
    "# axes1.set_xlabel(\"month\")\n",
    "# axes1.set_ylabel(\"concentration\")\n",
    "axes1.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "35ddddc0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x23d349e6940>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1152 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(20,16))\n",
    "\n",
    "axes5 = fig.add_subplot(3,2,5)\n",
    "axes5.plot(GJ_hour_PM.iloc[:,[0]], c='darkgreen', label = 'PM10')\n",
    "# axes5.plot(GJ_hour_PM.iloc[:,[1]], c='lightgreen', label= 'PM2.5')\n",
    "# axes5.set_title(\"GJ_PM10\")\n",
    "# axes5.set_xlabel(\"hour\")\n",
    "# axes5.set_ylabel(\"concentration\")\n",
    "axes5.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2a5522fe",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "66eb7327",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d3f88df9",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b2d5268c",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "90c39c77",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f228a820",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9fa3093c",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7fcbc421",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4367deb5",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fb9f7e2c",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "87aad0e1",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7d2ceda9",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
